Hardware-constrained learning for quantum computing and artificial intelligence
Public syllabus
An interactive course grounded in the local QC+AI research syntheses and industry-use-case analysis, framed through NISQ realism, practical applications, and systems constraints.
Modules
Module 1
Introduces QAI versus AI4QC and the central claim of the corpus: useful near-term progress comes from disciplined hybridization under NISQ constraints.
Source highlights: Introduction and Contextual Overview (2026) | The Convergence of Quantum Mechanics and Computational Intelligence (2025)
Module 2
Explains how classical AI supports quantum routing, constrained optimization, graph shrinking, and realistic problem reformulation.
Source highlights: Classical Artificial Intelligence for Quantum Circuit Routing (2025) | Hybrid Reinforcement Learning and Quantum Optimization for Logistics (2026) | Learning-Based Graph Shrinking for Constrained Combinatorial Quantum Optimization (2026)
Module 3
Focuses on hybrid architectures where quantum layers act as compact feature bottlenecks, kernels, or classifiers inside larger classical systems.
Source highlights: Quantum Vision Transformers in High-Energy Physics (2025) | Quantum-Classical Graph Neural Networks for Particle Jet Tagging (2025) | Quantum Diffusion Models for Few-Shot Learning (2025) | Quantum-Enhanced Reinforcement Learning in Safety-Critical Clinical Control (2026) | Quantum Kernel Methods for High-Dimensional Biomedical Imaging (2026)
Module 4
Explores quINR, QuCoWE, and QGSHAP as examples of expressive hybrid representations and more faithful explanation under combinatorial complexity.
Source highlights: Quantum Implicit Neural Compression (2025) | Distributional Semantics and Quantum Contrastive Word Embeddings (2026) | Quantum Amplitude Amplification for Exact GNN Explainability (2026)
Module 5
Maps the local industry-use-case corpus onto finance, healthcare, logistics, climate, telecommunications, cybersecurity, consumer technology, and commercialization.
Source highlights: The Macro-Industrial Shift: Industry 4.0 to Industry 5.0 | Revolutionary Use Cases in Financial Modeling and Cryptoeconomics | Transforming Healthcare, Pharmaceuticals, and Computational Chemistry | Cybersecurity, Post-Quantum Cryptography, and Blockchain | The Entrepreneurial Ecosystem and Commercial Opportunities
Module 6
Closes the course by treating QC+AI as a systems discipline concerned with energy, memory, and sustainable hybrid orchestration.
Source highlights: The Thermodynamic Imperative: Quantum Agents and Resource Efficiency (2026) | Synthesis and Future Trajectories in Hybrid Quantum-Classical Computing (2026) | Synthesis and Forward Outlook (2025)
Sources
P. Raj, B. Sundaravadivazhagan, M. Ouaissa, V. Kavitha, and K. Shantha Kumari, Eds., Quantum Computing and Artificial Intelligence: The Industry Use Cases. Hoboken, NJ, USA: John Wiley & Sons / Scrivener Publishing LLC, 2025, ISBN: 978-1-394-24236-8.
S. Ali, F. Chicano, and A. Moraglio, Eds., Quantum Computing and Artificial Intelligence: First International Workshop, QC+AI 2025, Philadelphia, PA, USA, March 3, 2025, Proceedings, ser. Communications in Computer and Information Science, vol. 2813. Cham, Switzerland: Springer Nature Switzerland AG, 2026, ISSN: 1865-0929 (print), 1865-0937 (electronic), ISBN: 978-3-032-15930-4 (print), 978-3-032-15931-1 (eBook). doi: 10.1007/978-3-032-15931-1.
S. Ali, F. Chicano, and A. Moraglio, Eds., Quantum Computing and Artificial Intelligence: Second International Workshop, QC+AI 2026, Singapore, January 27, 2026, Proceedings, ser. Communications in Computer and Information Science, vol. 2872. Cham, Switzerland: Springer Nature Switzerland AG, 2026, ISSN: 1865-0929 (print), 1865-0937 (electronic), ISBN: 978-3-032-17624-0 (print), 978-3-032-17625-7 (eBook). doi: 10.1007/978-3-032-17625-7.
Quantum Computing AI Research Synthesis 2026.docx
Analyzing Quantum Computing and AI Paper 2025.docx
Quantum Computing and Artificial Intelligence Industry Use Cases.docx
Quantum Computing and Artificial Intelligence 2025.mp4
Quantum Computing and Artificial Intelligence 2026.mp4
Industry Use Cases.mp4